A media company has a 30-T8 repository of digital news videos stored on tape in an on-premises tape library and referenced by a Media Asset Management (MAM) system. The company wants to automatically enrich video metadata (for example, objects, scenery items, and faces) and make videos searchable via the MAM. A face catalog already exists with images of people who appear in the videos. The company plans to migrate videos to AWS and has a high-speed AWS Direct Connect link. The company wants to move video files directly from its current file system with the least ongoing management overhead and minimal disruption to the existing system. Which solution meets these requirements?

The correct solution uses AWS Storage Gateway File Gateway to seamlessly migrate files from the on-premises system to Amazon S3, minimizing disruption and management overhead. The MAM system can write directly to the File Gateway as if it were a local file share. Amazon Rekognition is the appropriate service for video analysis and metadata extraction, and its JavaScript SDK can be invoked by a Lambda function to process videos stored in S3. The face catalog is used to build a Rekognition collection for accurate face recognition. Incorrect options: Tape Gateway is designed for backup and archiving to virtual tapes, not for direct file access and processing by services like Rekognition. Kinesis Video Streams is for real-time video streaming and analytics, which is not the primary requirement for migrating an existing 30TB archive. It also adds complexity for a bulk migration scenario. Launching an EC2 instance with OpenCV requires significant manual effort for setup, scaling, and management of the processing pipeline, which contradicts the requirement for minimal ongoing management overhead.